Buradasınız : Research Topics / Bootstrap Methods for Forecasting
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Pazar, 29.03.2020

Bootstrap methods can give standart errors, confidence intervals and distrubutions for statistics about a population without any distrubution assumption for the population. Especially, statistical results can be obtained for fuzzy systems and artificial neural networks by using this algorithms. FORELAB focuses on time series data bootstrap approaches such as moving block bootstrap, iid bootstrap for fuzzy systems and artificial neural networks.